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Title:
METHOD, APPARATUS, AND COMPUTER PROGRAM FOR GENERATING SLEEP ANALYSIS MODEL PREDICTING SLEEP STATE ON THE BASIS OF SOUND INFORMATION
Document Type and Number:
WIPO Patent Application WO/2024/019567
Kind Code:
A1
Abstract:
The present invention provides an artificial neural network model for determining a sleep state of a user on the basis of sound information sensed in the sleep environment of the user. This method for generating a sleep analysis model may comprise the steps of: acquiring sleep sound information about the user; pre-processing the sleep sound information; and acquiring sleep state information by analyzing the pre-processed sleep sound information. According to the present invention, sound information related to a sleep environment is easily acquired through a user terminal (for example, a mobile terminal) carried by a user, and a sleep stage of the user is analyzed on the basis of the acquired sound information so that a sleep state can be determined.

Inventors:
HONG JUNKI (KR)
TRAN HONG HAI (KR)
KIM DAEWOO (KR)
LEE DONGHEON (KR)
JUNG JINHWAN (KR)
KIM JONG MOK (KR)
KIM HYUNGGUG (KR)
Application Number:
PCT/KR2023/010525
Publication Date:
January 25, 2024
Filing Date:
July 20, 2023
Export Citation:
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Assignee:
ASLEEP CO LTD (KR)
International Classes:
A61B5/00; A61B5/024; A61B5/08; G06N3/08; G16H50/20
Foreign References:
KR20210076594A2021-06-24
KR20210099059A2021-08-11
KR102415103B12022-06-30
KR20220095009A2022-07-06
KR20210108577A2021-09-03
JP2019063200A2019-04-25
Other References:
HONG JUNG KYUNG, LEE TAEYOUNG, DELOS REYES ROBEN DEOCAMPO, HONG JOONKI, TRAN HAI HONG, LEE DONGHEON, JUNG JINHWAN, YOON IN-YOUNG: "Confidence-Based Framework Using Deep Learning for Automated Sleep Stage Scoring", NATURE AND SCIENCE OF SLEEP, DOVE MEDICAL PRESS, vol. 13, 1 January 2021 (2021-01-01), pages 2239 - 2250, XP093131678, ISSN: 1179-1608, DOI: 10.2147/NSS.S333566
HONG JOONKI, HAI TRAN, JINHWAN JEONG, HYERYUNG JANG, IN-YOUNG YOON, JUNG KYUNG HONG, JEONG-WHUN KIM: "0348 SLEEP STAGING USING END-TO-END DEEP LEARNING MODEL BASED ON NOCTURNAL SOUND FOR SMARTPHONES", SLEEP, vol. 45, no. Suppl 1, 25 May 2022 (2022-05-25), pages A156, XP093131680, DOI: 10.1101/2021.10.13.21264974
HONG JOONKI, TRAN HAI HONG, JUNG JINHWAN, JANG HYERYUNG, LEE DONGHEON, YOON IN-YOUNG, HONG JUNG KYUNG, KIM JEONG-WHUN: "End-to-End Sleep Staging Using Nocturnal Sounds from Microphone Chips for Mobile Devices", NATURE AND SCIENCE OF SLEEP, DOVE MEDICAL PRESS, vol. Volume 14, 1 June 2022 (2022-06-01), pages 1187 - 1201, XP093131683, ISSN: 1179-1608, DOI: 10.2147/NSS.S361270
LE VU LINH, KIM DAEWOO, CHO EUNSUNG, JANG HYERYUNG, REYES ROBEN DELOS, KIM HYUNGGUG, LEE DONGHEON, YOON IN-YOUNG, HONG JOONKI, KIM: "Real-Time Detection of Sleep Apnea Based on Breathing Sounds and Prediction Reinforcement Using Home Noises: Algorithm Development and Validation", JOURNAL OF MEDICAL INTERNET RESEARCH, JMIR PUBLICATIONS, CA, vol. 25, 22 February 2023 (2023-02-22), CA , pages e44818, XP093131684, ISSN: 1438-8871, DOI: 10.2196/44818
KIM JONGMOK, KIM DAEWOO, CHO EUNSUNG, TRAN HAI HONG, HONG JOONKI, LEE DONGHEON, HONG JUNGKYUNG, YOON IN-YOUNG, KIM JEONG-WHUN, JAN: "SOUND-BASED SLEEP STAGING BY EXPLOITING REAL-WORLD UNLABELED DATA", ICLR 2023, 2 March 2023 (2023-03-02), pages 1 - 7, XP093131686
TRAN, Hai Hong et al. Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation. 01 June 2023. [Retrieved on 07 November 2023]. Retrieved from .
Attorney, Agent or Firm:
KIM, Sung Ho (KR)
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